A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection.
Sebastián BasterrechLine H. ClemmensenGerardo RubinoPublished in: CoRR (2024)
Keyphrases
- unsupervised learning
- unsupervised classification
- information bottleneck
- clustering algorithm
- clustering method
- unsupervised feature selection
- unsupervised clustering
- neural network
- hierarchical clustering
- information theoretic
- supervised classification
- detection rate
- detection method
- anomaly detection
- supervised learning
- k means
- detection algorithm
- completely unsupervised
- false positives
- self organizing maps
- data distribution
- unsupervised manner
- object detection
- spectral clustering
- automatic detection
- false alarms
- web people search
- minimum message length
- agglomerative clustering
- categorical data
- data objects
- data clustering
- cluster analysis
- outlier detection
- data driven
- data points
- detection accuracy
- probability distribution
- high dimensional
- similarity measure
- unsupervised methods
- data sets
- machine learning
- cluster validation
- maximum likelihood